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Most CI jobs are red due to an installation issue (#5009)
Searching for numpy
Reading https://pypi.org/simple/numpy/
Downloading https://files.pythonhosted.org/packages/26/de/437a60a69f7fd0c79264530a97787b2ac7394616e3661236201518f8a47d/numpy-1.25.0rc1.tar.gz#sha256=224e8862a1cd357eede831b270b9e6c51d2cbc2bb5cc2e2b8d0c76d52cbd1edc
Best match: numpy 1.25.0rc1
Processing numpy-1.25.0rc1.tar.gz
Writing /tmp/easy_install-387ykuae/numpy-1.25.0rc1/setup.cfg
Running numpy-1.25.0rc1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-387ykuae/numpy-1.25.0rc1/egg-dist-tmp-9r05yq36
Traceback (most recent call last):
File "/opt/conda/envs/ci/lib/python3.8/site-packages/setuptools/sandbox.py", line 156, in save_modules
yield saved
File "/opt/conda/envs/ci/lib/python3.8/site-packages/setuptools/sandbox.py", line 198, in setup_context
yield
File "/opt/conda/envs/ci/lib/python3.8/site-packages/setuptools/sandbox.py", line 259, in run_setup
_execfile(setup_script, ns)
File "/opt/conda/envs/ci/lib/python3.8/site-packages/setuptools/sandbox.py", line 46, in _execfile
exec(code, globals, locals)
File "/tmp/easy_install-387ykuae/numpy-1.25.0rc1/setup.py", line 22, in <module>
return get_distribution(pkgname)
RuntimeError: Python version >= 3.9 required.
@pmeier do you mind taking a look? Not sure what's causing it but we should look into why it's trying to install a RC instead of a stable numpy version.
The text was updated successfully, but these errors were encountered:
This happens because the really outdated easy_install that we are still using internally, does not care about required Python versions. numpy released 1.25.0rc1 today, which no longer has a wheel for Python 3.8. However, it has a .tar.gz version so it tries to compile from source. But instead of discarding the tarball as soon as it realizes the Python version is not supported, it bails out.
In contrast, doing the same with pip in a clean Python 3.8 environment gives
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Most CI jobs are red due to an installation issue (#5009)
@pmeier do you mind taking a look? Not sure what's causing it but we should look into why it's trying to install a RC instead of a stable numpy version.
The text was updated successfully, but these errors were encountered: